How I Tricked Big Tech’s AI Pricing Algorithms to Save $8,793

Introduction to Surveillance Pricing00:00:00

The video introduces surveillance pricing, a practice where corporations leverage personal data and AI to set individualized maximum prices for consumers, leading to significant cost variations for identical products.

Testing Price Discrepancies00:00:55

The host conducts live experiments comparing prices for identical items like groceries, ride-shares, and hotels, revealing substantial price differences between different users.

Attempting to Beat the Algorithm00:02:19

The host tries to game the system by creating a fake identity, 'Frank Reynolds LLC,' using a corporate loophole to avoid existing digital profiling and tracking.

Data Brokers and Privacy00:09:42

Expert insight from David Dayen explains how data brokers collect massive amounts of information—including location and financial history—to fuel these pricing algorithms.

The Drone Experiment in North Oaks00:15:12

To test if location and perceived wealth affect pricing, the host uses a drone to place a phone in North Oaks, Minnesota's wealthiest city, resulting in lower prices for ride-shares and food delivery compared to outside the city.

Conclusion and Call for Regulation00:19:03

The investigation concludes that the opaque nature of algorithmic pricing is unfair to consumers and advocates for government regulation to curb these practices.